Metrics & Evaluation
Source: content/manual/03-ai-agents/chapters/05-metrics-and-evaluation.md
Purpose and scope
Define baselines and compare agent-assisted workflows against control.
Outcomes
- Clear ROI for expanded usage.
- Safeguards if quality dips.
- Cost visibility per workflow.
Signals of trouble
- Claims of impact without baselines.
- Rising change failure rate post-rollout.
- Token spend spikes without justification.
Remediation steps
- Capture baseline metrics before pilot.
- Log review corrections and escaped defects.
- Report cost per task and budget trends.
Checklists and assets
playbooks/ai-agents-in-software-dev/checklist.mdevaluation steps.
References
- DORA dashboards; cost monitoring guides.